Rainey Billie-Jean, Burnside Girvan, Harrison Jayne E
Specialty registrar in Orthodontics, Dental Hospital, School of Dentistry, University of Liverpool, Liverpool, United Kingdom.
Lecturer in Dental Statistics, Department of Biostatistics, Dental Hospital, School of Dentistry, University of Liverpool, Liverpool, United Kingdom.
Am J Orthod Dentofacial Orthop. 2016 Jul;150(1):98-104. doi: 10.1016/j.ajodo.2015.12.013.
Growth and its prediction are important for the success of many orthodontic treatments. The aim of this study was to determine the reliability of the cervical vertebral maturation (CVM) method for the assessment of mandibular growth.
A group of 20 orthodontic clinicians, inexperienced in CVM staging, was trained to use the improved version of the CVM method for the assessment of mandibular growth with a teaching program. They independently assessed 72 consecutive lateral cephalograms, taken at Liverpool University Dental Hospital, on 2 occasions. The cephalograms were presented in 2 different random orders and interspersed with 11 additional images for standardization. The intraobserver and interobserver agreement values were evaluated using the weighted kappa statistic.
The intraobserver and interobserver agreement values were substantial (weighted kappa, 0.6-0.8). The overall intraobserver agreement was 0.70 (SE, 0.01), with average agreement of 89%. The interobserver agreement values were 0.68 (SE, 0.03) for phase 1 and 0.66 (SE, 0.03) for phase 2, with average interobserver agreement of 88%.
The intraobserver and interobserver agreement values of classifying the vertebral stages with the CVM method were substantial. These findings demonstrate that this method of CVM classification is reproducible and reliable.
生长及其预测对于许多正畸治疗的成功至关重要。本研究的目的是确定颈椎成熟度(CVM)方法评估下颌生长的可靠性。
一组20名对CVM分期不熟悉的正畸临床医生通过一个教学程序接受培训,以使用CVM方法的改进版本来评估下颌生长。他们独立地对在利物浦大学牙科医院拍摄的72张连续头颅侧位片进行了两次评估。头颅侧位片以两种不同的随机顺序呈现,并穿插11张额外的图像用于标准化。使用加权kappa统计量评估观察者内和观察者间的一致性值。
观察者内和观察者间的一致性值较高(加权kappa,0.6 - 0.8)。总体观察者内一致性为0.70(标准误,0.01),平均一致性为89%。观察者间第1阶段的一致性值为0.68(标准误,0.03),第2阶段为0.66(标准误,0.03),观察者间平均一致性为88%。
使用CVM方法对椎体阶段进行分类时,观察者内和观察者间的一致性值较高。这些发现表明这种CVM分类方法具有可重复性和可靠性。